Triple

T17642968
Position Surface form Disambiguated ID Type / Status
Subject Liphook E429283 entity
Predicate hasCivilParishName P43491 FINISHED
Object Bramshott and Liphook NE NERFINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Bramshott and Liphook | Statement: [Liphook, hasCivilParishName, Bramshott and Liphook]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bramshott and Liphook
Context triple: [Liphook, hasCivilParishName, Bramshott and Liphook]
  • A. Bramshott chosen
    Bramshott is a historic village in Hampshire, England, known for its picturesque countryside and association with nearby heathland areas.
  • B. Liphook
    Liphook is a large village and civil parish in Hampshire, England, known for its location near the South Downs and its role as a commuter settlement.
  • C. Petersfield
    Petersfield is a historic market town in Hampshire, England, known for its traditional town square and as a gateway to the surrounding South Downs countryside.
  • D. Badwell Ash
    Badwell Ash is a small rural village and civil parish in the English county of Suffolk, known for its historic church and traditional countryside setting.
  • E. Camberley
    Camberley is a suburban town in southeast England known for its shopping centre, commuter links to London, and proximity to the Royal Military Academy Sandhurst.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d889e2c2608190b762e76d9b2262f1 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46de7055c819080d315bb3637882b completed April 19, 2026, 5:53 a.m.
Created at: April 10, 2026, 6:03 a.m.